医学
甲状腺结节
恶性肿瘤
结核(地质)
接收机工作特性
甲状腺
放射科
内科学
生物
古生物学
作者
Guangdong Shao,Baoqi Sun,Mingming Shi,Yining Song,Zheng Sun,Xiaoliang Hao,Longlong Li,Zhenpeng Fu
出处
期刊:Ejso
[Elsevier]
日期:2022-06-01
卷期号:48 (6): 1264-1271
被引量:1
标识
DOI:10.1016/j.ejso.2022.03.016
摘要
In order to avoid excessive treatment of thyroid nodules in the clinic, it is necessary to find a simple and practical analysis method to comprehensively and accurately reflect benign or malignant thyroid nodules. This study aimed to construct and validate a comprehensive and reliable network-based predictive model using a variety of imaging and laboratory criteria for thyroid nodules to stratify the risk of malignancy prior to surgery.We retrospectively analyzed data from patients who underwent surgical treatment for thyroid nodules at the Thyroid and Breast Diagnosis and Treatment Center of Weifang Hospital of Traditional Chinese Medicine between January 2018 and December 2020. Binary logical regression analysis was performed to predict whether nodules were malignant or benign. The developmental dataset included 457 patients (January 2018-December 2020). The validation set included separate data points (n = 225, January 2018-December 2020).In this study, criteria that showed significant predictive value for malignant nodules included TI-RADS: 4b (p = 0.065); Bethesda IV, Bethesda V, Bethesda VI (P < 0.0001); BRAFV600E mutation (P < 0.0001); Calcitonin>5 pg/ml (p = 0.0037); and FNA-Tg>30 ng/ml (p = 0.0003). A 10-grade risk scoring system was developed. The risk of malignancy risk ranged from 2.06% to 100% and was positively associated with increasing risk grade. The areas under the receiver-operating characteristic curve of the development and validation sets were 0.972 and 0.946, respectively.A simple, comprehensive and reliable web-based predictive model was designed using a variety of imaging and laboratory criteria to stratify thyroid nodules by probability of malignancy.
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